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Prediction of neddylation sites from protein sequences and sequence-derived properties

Overview of attention for article published in BMC Bioinformatics, December 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
30 Mendeley
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Title
Prediction of neddylation sites from protein sequences and sequence-derived properties
Published in
BMC Bioinformatics, December 2015
DOI 10.1186/1471-2105-16-s18-s9
Pubmed ID
Authors

Ahmet Sinan Yavuz, Namık Berk Sözer, Osman Uğur Sezerman

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Turkey 1 3%
Unknown 29 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 33%
Student > Bachelor 4 13%
Researcher 4 13%
Student > Doctoral Student 3 10%
Student > Master 2 7%
Other 4 13%
Unknown 3 10%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 30%
Agricultural and Biological Sciences 8 27%
Computer Science 3 10%
Medicine and Dentistry 3 10%
Immunology and Microbiology 1 3%
Other 3 10%
Unknown 3 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 March 2020.
All research outputs
#7,645,091
of 23,277,141 outputs
Outputs from BMC Bioinformatics
#3,070
of 7,369 outputs
Outputs of similar age
#122,273
of 391,417 outputs
Outputs of similar age from BMC Bioinformatics
#70
of 153 outputs
Altmetric has tracked 23,277,141 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,369 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 391,417 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 153 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.